Worst Management and HR: opiniones de empleados con el puesto de Data Science Intern en Machine Learning 1

Supportive colleagues. Great learning. Growth.

Low perks. Micromanagement. No training. Ever evolving policies.

Real-World Experience You work on actual products or client projects—not just academic tasks. Team Collaboration You learn how ML integrates with backend, frontend, and DevOps teams. Mentorship You may get to work under experienced ML engineers or data scientists. Exposure to Tools You get hands-on with industry tools like Git, Docker, MLFlow, and frameworks (PyTorch, TensorFlow, Hugging Face). Portfolio Building Your work can be added to your resume and maybe even showcased (if not under NDA). Job Opportunities Internships often lead to full-time offers if you perform well.

No such cons in this company